Abstract
Tuning parallel code can be a time-consuming and difficult task. We present our approach to automate the performance analysis of OpenMP applications that is based on the notion of performance properties. Properties are formally specified in the APART specification language (ASL) with respect to a specific data model. We describe a data model for summary (profiling) data of OpenMP applications and present performance properties based on this data model. We evaluate the usability of the properties on several example codes using our OpenMP profiler ompP to acquire the profiling data. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Fürlinger, K., & Gerndt, M. (2005). Performance analysis of shared-memory parallel applications using performance properties. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3726 LNCS, pp. 595–604). Springer Verlag. https://doi.org/10.1007/11557654_70
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